All courses

Technical AI

For ML engineers, MLOps and platform engineers, infrastructure architects and DevOps people who know Linux, Python and basic containers.

Technical AI

For Python developers and full stack engineers.

Technical AI

For Java developers and full stack engineers who already write some Java.

Technical AI

For data scientists, ML engineers, developers and analysts who write basic Python.

AI Literacy

Produce the monthly management pack faster with AI while keeping it reconciled, defined and signed off: clean data, a KPI dictionary, commentary with a claims ledger, tested summaries, governance, and AI for reconciliation, payables, journals and finance risk.

AI for Business

Turn business data into a clear, honest story that leaders act on: frame it, use free AI tools to find and check the pattern, draw honest charts and dashboards, write answer first, and keep a record of what was checked.

AI Literacy

Prepare history you can forecast from, build driver-based budgets, back-test forecasts against a baseline, report them as ranges, run scenarios and govern the pack, using AI only where it helps.

AI Governance

Use AI assistants across a real project, from charter to close, without handing them the judgement.

Technical AI

Take a business problem from raw data to a deployed, monitored model with scikit-learn.

AI for Business

Define your metrics, ask data questions of a table, verify every answer with golden questions, forecast with a named method, and finish with a dashboard and a decision memo that names the owner of each number.

Technical AI

For ML engineers, data scientists and developers who write Python.

AI Literacy

Plan and run an AI skills programme for a whole organisation: build a skills framework from real tasks, assess readiness, design role-based learning paths, roll them out with champions and managers, measure behaviour and results, meet the EU AI literacy duty, and write a one-page workforce plan.

Technical AI

For DBAs, database engineers and SREs.

Technical AI

For data engineers and analytics engineers.

Technical AI

For back end and full stack developers who can write C# and have built a small web app.

AI for Business

Use AI across the medicines lifecycle the way regulators now expect, with evidence that matches what each use decides.

AI for Business

Level 2 of the Microsoft Copilot path, between the free Copilot basics and the Copilot Studio course.

Technical AI

The whole Microsoft stack that agents run on, then Copilot Studio in depth.

AI for Business

For founders and team leads of 5 to 15 person teams: choose workflow or agent, set approvals by consequence, check your tools, connect one read only path, run a weekly ritual and measure net time.

Claude AI

For developers who already use Claude Code and now run several sessions on one repository.

AI Governance

Build proportionate AI governance for delivery teams: risk lanes, a lightweight path with a register, a high risk gate, decision rights, a charter and a two sided scorecard, then a dated regulation map, data governance, monitoring, a maturity model and an ISO/IEC 42001 management system.

Claude AI

For working developers.